Publication detail

Data driven method of pedestrian flow estimation for evacuation scenario using queuing model

PORZYCKI, J. HRABÁK, P. BUKÁČEK, M. WAS, J. LUBAS, R.

Original Title

Data driven method of pedestrian flow estimation for evacuation scenario using queuing model

Type

miscellaneous

Language

English

Original Abstract

In this paper the authors introduce an efficient estimation tool of coming pedestrian flow during evacuation scenario. Such an estimation can be used to forestall possible threads like: clogging before exits or congestions with high density of pedestrians. A graph that represents the whole building is created – each room, or group of rooms can be represented as a single node. Actual output flow from external nodes (leaves) are measured using depth map sensors, and then propagated to each nodes of the graph using a queuing model. Proposed method is expandable i.e. one can use other flow sensors (e.g. CCTV underneath cameras or mobiles) also the propagation of flow can be executed using other methods – e.g. crowd dynamics simulations. However, the authors believe that described solution is the best choice for efficient estimation of pedestrian flow in indoor evacuation scenarios.

Keywords

Data driven method; pedestrian evacuation; queuing model; pedestrian experiment; cummulative flow

Authors

PORZYCKI, J.; HRABÁK, P.; BUKÁČEK, M.; WAS, J.; LUBAS, R.

Released

29. 6. 2016

Publisher

Jagiellonian University

Pages from

1

Pages to

10

Pages count

10

BibTex

@misc{BUT130834,
  author="Jakub {Porzycki} and Pavel {Hrabák} and Marek {Bukáček} and Jaroslaw {Was} and Robert {Lubas}",
  title="Data driven method of pedestrian flow estimation for evacuation scenario using queuing model",
  booktitle="Electronic proceedings of the 23rd EG-ICE workshop",
  year="2016",
  pages="1--10",
  publisher="Jagiellonian University",
  note="miscellaneous"
}